Peter Daniel (PhD)

A resourceful, tenacious, and result-oriented professional with 6+ years of industry experience as an applied economist and data scientist. He possesses broad experience in the agricultural value chain has conducted several independent pieces of research in economic issues and agricultural value chain.
He is armed with broad-based skills and expertise in training, business writing, monitoring and evaluation, financial analysis, people management, data entry/management, analysis, reporting, and documentation with exceptional leadership and team management capabilities.
He is savvy with the use and training with software like STATA, SPSS, EViews, Python, R, MS Excel, Tableau, MS Power Bi. His analytical Skills include Data Visualization, Frontier Analyses, Data Envelopment Analyses (DEA), Quadratic Almost Ideal Demand System (QUAIDS), Poverty Analyses (Multidimensional and Unidimensional), Policy Analysis Matrix (PAM), Ordinary Least Square (OLS; Cobb Douglas Regression), Maximum Likelihood Estimates (MLE; Probit and Logit,) Impact Analysıs (Propensity Score Matching, Switching Regression, and Double Difference-in-Difference), Time-series Analysis (ADF, Cointegration, ARDL, VAR, and VECM), among others.